Network of personalized devices determining data for shopping predictions

ABSTRACT

There are provided systems and methods for a network of personalized devices determining data for shopping predictions. A personalized device may include processing components for determining purchase predictions for one or more items to purchase on behalf of a user. The purchase predictions may be based on personality traits and other information that may indicate interests of the user. The purchase predictions may also be based on purchase information for the item, including inventory of the item, price of the item, availability of the item to the user, or other factor. Once the purchase prediction is determined, the personalized device may generate a purchase request for the item from a merchant having the item at a physical merchant location accessible to the personalized device or a delivery device associated with the personalized device. The personalized device may retrieve and deliver the purchased item.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.14/971,593, filed Dec. 16, 2015, which is incorporated herein byreference in its entirety.

TECHNICAL FIELD

The present application generally relates to a network of devices andpurchasing predictions and more specifically to a network ofpersonalized devices determining data for shopping predictions.

BACKGROUND

Users may wish to purchase one or more items from a merchant; however,the users may be otherwise busy in their day and inconvenienced by tripsto merchant locations. Online shopping allows users to purchase goodselectronically that are delivered to the user but still require a userto visit an online merchant (e.g., a merchant website or onlinemarketplace) to shop with the merchant. Moreover, the user is requiredto know that the user wants or needs to purchase the item, which may notbe the case for common household items that the user refills or replaces(e.g., beauty products such as soaps, shampoo, etc., as well as food,drinks, and other commonly purchased items). Online shopping furthersuffers from requiring delivery, which may not always be feasible withinthe required time or may require large fees for quick delivery. Thus,some users may utilize personal shoppers. However, personal shoppers maybe expensive and imprint their own personality traits on purchases,thereby purchasing incorrect or sub-optimal items. Moreover, personalshoppers may not have the required authority to utilize a user's paymentaccount or purchase restricted items (e.g., prescriptions for a user).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a networked system suitable forimplementing the processes described herein, according to an embodiment;

FIG. 2 is exemplary environment with multiple personalized devicesutilized to perform shopping predictions and purchases for users atvarious locations, according to an embodiment;

FIG. 3 is an exemplary system environment a personalized deviceperforming purchase predictions based on received data for personalityinformation and purchase information, according to an embodiment;

FIG. 4 is a flowchart of an exemplary process for a network ofpersonalized devices determining data for shopping predictions,according to an embodiment; and

FIG. 5 is a block diagram of a computer system suitable for implementingone or more components in FIG. 1, according to an embodiment.

Embodiments of the present disclosure and their advantages are bestunderstood by referring to the detailed description that follows. Itshould be appreciated that like reference numerals are used to identifylike elements illustrated in one or more of the figures, whereinshowings therein are for purposes of illustrating embodiments of thepresent disclosure and not for purposes of limiting the same.

DETAILED DESCRIPTION

Provided are methods utilized for a network of personalized devicesdetermining data for shopping predictions. Systems suitable forpracticing methods of the present disclosure are also provided.

A user may have one or more personality traits that may be entered to asystem as preferences of the user. For example, the user may configure apersonalized device with one or more preferences of the user byselecting the preferences, such as items of interest, required items,categories of items, subject matters of interest, or other selectionsrelated to items, subject matter, events, and/or interests. The user mayutilize an application of the personalized device, which may present anapplication interface of the application for entry of the personalityinformation using an input device. In other embodiments, thepersonalized device may be accessible through a communication deviceused by the user, which may connect with the personalized device inorder to receive the personality information set by the user. Thus, thecommunication device may include an application and communicationinterface for entry of the personality information's preferences andcommunication of the preferences to the personalized device. In variousembodiments, the communication of the preferences to the personalizeddevice by the communication device may occur using short range wirelesscommunications between the communication device and the personalizeddevice (e.g., [incomplete]).

The personalized device may correspond to a single device, a network ofdevices, and/or a centralized device using one or more delivery devices.The personalized device may include a hardware processor and anon-transitory memory. The non-transitory memory may store the receivedpersonality information, such as the preferences. Moreover, the hardwareprocessor may be in communication with the non-transitory memory toexecute one or more processes using the personality information, asdiscussed herein. In various embodiments, the personalized devicefurther includes a communication module or interface, which may beutilized to communicate with one or more nearby devices (e.g., thecommunication device of the user and/or a merchant device for a merchantselling an item) using short range wireless communications (e.g., NFC,Bluetooth, Bluetooth Low Energy, infrared, radio, WiFi, or othercommunication protocol). The communication interface may further beutilized to communication over a network with the aforementionedentities, as well as a payment provider, for example, to send andreceive data. Thus, the personalized device may initiate and/or engagein one or more processes with another device, server, or other entity.

The personalized device may also receive, retrieve, or otherwisedetermine the personality information from one or more other sourcesaccessible to the personalized device. For example, the personalizeddevice may access one or more devices, sensors, servers, or otherresources constituting the Internet of Things. The Internet of Thingsdescribes a principle whereby devices, sensors, servers, and otherresources may be embedded in real world physical items or objects sothat data for the objects may be detected and provided to other devicesrequesting the information. Thus, the personalized device may retrievedata from one or more real world objects. The data may be used todetermine personality information for the user, such as interests of theuser in items, subject matter, or other objects. For example, thepersonality information may include data associated with items, actions,locations, events, or other objects interacted with by the user. Thedata may be detected by one or more real world sensors associated withthe objects (e.g., use of a household appliance, a vehicle, etc.). Insuch embodiments, the personality information may include use of an itemby the user, an amount of use of the item by the user, purchase needs ofthe user, purchase interests of the user, and purchase requests for theitem by the user. In other embodiments, a smaller distributed network ofresources may be utilized to detect the personality information insteadof the Internet of Things.

The data may also be received or retrieved from another device/serviceand/or scraped from an online resource (e.g., a socialnetworking/microblogging website, an online feed, an account with theservice provider or another website, etc.). For example, the user'sactions may be indicative of a personality trait, such as if the usergoes hiking, begins running, visits a merchant retail location, attendsan event, or otherwise performs some real world or online action. Suchactions may also be determined using a transaction history of the user(e.g., purchases of the user), locations of the user, or otherretrievable data, including data determined by a communication deviceand/or secondary device (e.g., a biometric detection device, such as aFITBIT®). In further embodiments, the personality information of theuser may also be determined using emails and messages sent or receivedby the user, social networking and microblogging posts by the user ormentioning the user, and/or other available data associated with theuser. Thus, the personality information may include shopping by theuser, online search engine searches by the user, actions taken by theuser, biometrics of the user, locations visited by the user, mediaconsumed by the user, and social networking and microblogging posts bythe user, wherein the personality information may be updated over timebased on newly retrieved data by the personalized device system.

Purchase information for at least one item and the user may also bedetermined by the personalized device. The purchase information may bestored to the non-transitory memory of the personalized device. Thepurchase information may be used to determine if and when to purchase anitem by the personalized device. In this regard, the purchaseinformation may, in certain embodiments, be detected or determinedsimilar to the personality information from sensors, devices, servers,and other resources available on the Internet of Things or a smallerdistributed network of resources. In such embodiments, the purchaseinformation may correspond to a current amount of an item that the userhas (e.g., an amount of bread in a home of the user, a level of gas in avehicle of the user, a number of batteries in possession of the user) ora requirement for the item (e.g., detection of a required purchase offood or drink). The purchase information may therefore includeinformation about a purchase need or interest of the user based oncurrently purchased and available items to the user (e.g., items inpossession of the user and their current state). Thus, the purchaseinformation may include information for a quantity, quality, repairstate, renew state, or other information about an item in possession ofthe user.

The purchase information may also include information about an item ofinterest to the user (e.g., an item the user may wish to purchase basedon the personality information and/or other purchase information). Inthis regard, the purchase information may be determined from informationavailable from a merchant, such as a sale price of the item,availability of the item to the user at the merchant location, anavailable stock of the item, a discount of the item. The purchaseinformation may also include information about whether the user can,should, or would like to purchase the item. In such embodiments, thepurchase information may include a purchase schedule of the item by theuser and available funds to the user. Other user information, such aspotential travel by the user, a schedule of the user, current locationof the user, biometrics of the user, health of the user, or other userinformation may also be included within the purchase information.

The personalized device may determine a purchase prediction using atleast the personality information. For example, the personalityinformation may indicate that the user has an interest in purchasing anitem. The interest may be a requirement to purchase an item, such as newfood, gas for a vehicle, a co-purchase (e.g., batteries, light bulbs,etc.), or other required purchase based on the user's personalitytraits. The purchase of the item may also be an indication that the userdesires the item or would otherwise like to purchase the item, forexample, in the case of new interests of the user. In such embodiments,the purchase prediction may correspond to a purchase of an item based onthe user's behavior or personality traits that may be prospective andnot required by the user. The purchase prediction may be used todetermine future purchases of the user, and may be made to predict thepurchase prior to the user requiring the item or wishing to purchase theitem. Thus, the purchase prediction may be used to purchase an itemprior to the user performing actions to purchase the item, such asthrough an online merchant or visiting a physical merchant location. Thepersonality information may be used to determine a purchase predictionfor an item (e.g., goods, services, etc.) according to an interest inthe item itself or a category of items (e.g., cars, boats, etc.), anaction (e.g., hiking, workouts, etc.), or other subject type. Thepurchase prediction may be presented to the user prior to the userapproving or authorizing purchase of the corresponding item(s) in thepurchase prediction. However, in other embodiments, the user maypre-authorize purchases so that the personalized device is automaticallyauthorized to begin processing the purchase prediction to purchase theitem. Moreover, the user may also establish preferences for whatpurchases are allowed (e.g., an amount, type of purchase, etc.).

The personalized device may further determine the purchase predictionusing the purchase information. The purchase information may be used todetermine whether a user requires or wishes to purchase an item, such aswhen the user's inventory of the item in possession of the user is lowor empty (e.g., out of eggs, low on gas for a vehicle, etc.). Thepurchase information may therefore be used with the personalityinformation to determine the purchase prediction of when the user needsor wants an item. The purchase information may also be used to determinewhen or where to purchase an item in the purchase prediction based notonly on the item's information with the user (e.g., amount, quality,repair state, etc., of the item already in possession of the user) butalso on the item's information with a merchant. For example, inventorylevel of the item with the merchant, a discount of the item, or othersales information for the item may be used to determine the purchaseprediction. Thus, the purchase prediction may be made at a best or moreideal time for a user, such as when the item is discount, from amerchant providing a discount, and/or when the user has adequate funds.

Once a purchase prediction for an item is generated, the personalizeddevice may generate a purchase request for the item. The purchaserequest may be for a transaction to purchase the item by providing apayment to a merchant selling the item and selected by the personalizeddevice by the personalized device and on behalf of the user (e.g., usinga payment instrument of the user, such as a payment card, paymentaccount with a payment provider, bank account, or other financialinstrument). The purchase request may be communicated to the merchantfor processing (e.g., using a merchant's backend systems to process apayment using the payment instrument selected by the personalizeddevice). In other embodiments, the purchase request may be communicatedto an online payment provider that may process the purchase request byproviding a payment to the merchant for the transaction for the item(s).Once processed, the personalized device has purchased the items onbehalf of the user and may retrieve or have delivered the item(s)purchased on behalf of the user.

The personalized device may further include processes, hardware, and/orcomponents that may allow the personalized device to retrieve the itemafter completing the transaction and providing payment to the merchant.For example, the personalized device may be implemented as a dronedelivery device, which may be utilized to travel to a physical merchantlocation where the item is held by the merchant and retrieve the itemfrom the merchant. In this regard, the personalized device may becapable of land and/or air travel, which may allow the personalizeddevice to physically move between two or more locations. Thepersonalized device may include the movement and/or motion componentswith the hardware processor and non-transitory memory. A network ofsimilar personalized devices may also be used to provide purchase andretrieval of a plurality of items on behalf of the user. Thus, thepersonalized devices may each determine purchase predictions andcommunicate with each other to update personality and/or purchaseinformation and perform purchases. However, in other embodiments, thecomponents used for physical movement between two or more points may beincluded within one or more other delivery devices, which may becontrolled by a centralized personality device to perform the purchasepredictions and transaction processing.

In various embodiments, a transaction for one or more items may requireauthentication, proof of identification, and/or proof of age. Forexample, prescription medications may require a driver's license orother identification card to be presented by a user on purchase.Similarly, alcohol and other restricted items may require proof of ageor other authorization. In such embodiments, the personalized deviceand/or delivery device may include required authentication that may bepresented to the merchant on retrieval of the items. The authenticationmay include a voice or audio playback of the user, a call or a messageto the user while the delivery device is at the physical merchantlocation, a personalized identification of the user, a username and apassword for an account of the user, a thumbprint of the user, a paymentcard of the user, and an identification card of the user. In otherembodiments, a key arrangement or other encrypted data sharing acryptographic technique may be shared between the personalized deviceand a merchant device for the user. Thus, the personalized device mayprovide an encrypted token associated with the cryptographic techniqueto a delivery device, which may be presented to the merchant onretrieval of the item by the delivery device. For example, an asymmetrickey pair may be used to encrypt a token, which may be decrypted by themerchant's device when the delivery device presents the encrypted tokento the merchant's device (e.g., using short range wirelesscommunications when the delivery device arrives at the merchantlocation). Moreover, the authentication may be used on retrieval ofitems so insure that the delivery device retrieving the items actuallybelongs to the user and is not fraudulent. Thus, the authentication maybe used to prevent theft and fraud by other users using delivery devicesand allow the merchant to prevent loss.

The items may further be delivery to a location of the user. Thelocation may correspond to a current location of the user, which may beentered by the user or determined using a communication device havinglocation services technology (e.g., GPS). The location of the user maybe provided to the delivery device in possession of the item(s), and thedelivery device may include mapping and/or location detection technologyto track and move to the location. In other embodiments, the locationmay be set as a home location, a work location, or another locationspecified by the user, which may be limited in time (e.g., a friend'shouse, a public park, etc.). The personalized device may also makeintelligent choices of the delivery location, for example, using aschedule of the user and/or other available user information.

The personalized device may be utilized for reordering of items. Forexample, the purchase information having a current stock or inventory ofan item in possession of a user may be tracked by the personalizeddevice for reordering on behalf of the user. Additionally, thepersonality information for the user may also be used to determine howoften or how much of the item the user uses over time, in order topredict when reordering may be required. Other personality and/orpurchase information may also be tracked, such as a quantity, quality,repair status, and/or renewal status of the item. Thus, the personalizeddevice may be used to make intelligent purchasing of one or more itemson behalf of the user.

FIG. 1 is a block diagram of a networked system 100 suitable forimplementing the processes described herein, according to an embodiment.As shown, system 100 may comprise or implement a plurality of devices,servers, and/or software components that operate to perform variousmethodologies in accordance with the described embodiments. Exemplarydevices and servers may include device, stand-alone, andenterprise-class servers, operating an OS such as a MICROSOFT® OS, aUNIX® OS, a LINUX® OS, or other suitable device and/or server based OS.It can be appreciated that the devices and/or servers illustrated inFIG. 1 may be deployed in other ways and that the operations performedand/or the services provided by such devices and/or servers may becombined or separated for a given embodiment and may be performed by agreater number or fewer number of devices and/or servers. One or moredevices and/or servers may be operated and/or maintained by the same ordifferent entities.

System 100 includes a user, a personalized device 110, a communicationdevice 130, a sensor 140, a merchant device 150, and a payment providerserver 160 in communication over a network 170. Personalized device 110may be established by a user (not shown) that sets up personalizeddevice 110 to determine purchase predictions and perform shopping foritems determined in the purchase predictions. Personalized device 110may utilize personality and/or purchase information, which may beaccessed at least in part from communication device 130, sensor 140, andmerchant device 150. The user may also utilize communication device 130to utilize the various features available for communication device 130,which may include processes and/or applications associated withpersonalized device 110, for example, providing personality informationand/or authentication. Personalized device 110 may further purchase anitem based on the determined purchase prediction from merchant device150. When processing a transaction for the item(s), personalized device110 may utilize payment provider server 160 to process transactions.

Personalized device 110, communication device 130, sensor 140, merchantdevice 150, and payment provider server 160 may each include one or moreprocessors, memories, and other appropriate components for executinginstructions such as program code and/or data stored on one or morecomputer readable mediums to implement the various applications, data,and steps described herein. For example, such instructions may be storedin one or more computer readable media such as memories or data storagedevices internal and/or external to various components of system 100,and/or accessible over network 170.

Personalized device 110 may be implemented as a communication devicethat may utilize appropriate hardware and software configured for wiredand/or wireless communication with communication device 130, merchantdevice 150, and/or payment provider server 160. For example, in oneembodiment, personalized device 110 may be implemented as a personalcomputer (PC), a smart phone, laptop/tablet computer, wearable computingdevice, implantable communication devices, and/or other types ofcomputing devices capable of transmitting and/or receiving data, such asan IPAD® from APPLE®. In other embodiments, personalized device 110 mayalso correspond to a drone device capable of travel and movement, suchas a drink configured to travel across land and/or through air. However,in other embodiments, personalized device 110 may instead use one ormore delivery devices, which may include movement and travel components,such as a delivery drone. Although only one device is shown, a pluralityof devices may function similarly.

Personalized device 110 of FIG. 1 contains a prediction application 120,an identification application 112, other applications 114, a database116, and a communication module 118. Prediction application 120,identification application 112, and other applications 114 maycorrespond to executable processes, procedures, and/or applications withassociated hardware. In other embodiments, personalized device 110 mayinclude additional or different modules having specialized hardwareand/or software as required.

Prediction application 120 may correspond to one or more processes toexecute software modules and associated devices of personalized device110 to generate purchase predictions for one or more items based onpersonality information and/or purchase information, and processpurchase requests for the item(s) in the purchase predictions. In thisregard, prediction application 120 may correspond to specializedhardware and/or software utilized by a user of personalized device 110to first determine personality information for a user associated withpersonalized device 110 and/or access the personality information from anon-transitory memory of personalized device 110. The user may be a userthat sets-up and establishes personalized device 110 to perform shoppingand purchases on behalf of the user. Thus, the personality informationmay correspond to personality traits and other information for the userthat may be used to determine purchases for the user, for example,purchases for one or more items of interest to the user that are soldfrom a merchant. The personality information may correspond topreferences and/or parameters set by the user for items to purchase. Thepreferences and/or parameters may be set by the user using an inputdevice of personalized device 110 and interface of predictionapplication 120, or may be set with personalized device 110 andcommunicated to personalized device 120 by personalized device 110. Thepreferences may correspond to one or more items the user would likepersonalized device 110 to purchase, such as requests to purchase food,drinks, household products, fuel, etc. The preferences may also be foritems of interest that the user may wish to purchase, including newfurniture, electronics, etc. The parameters may correspond to purchasingconditions for the item(s), including when the items are required to bepurchased by, how often the items need to be reordered, a quantity ofitems required to be available to the user, a purchase price for theitems, a discount or other benefit for the items, a quality of theitems, a required repair state of the items, selected merchants sellingthe item, or other parameter associated with when and where to purchasethe item.

Prediction application 120 may also determine the personalityinformation from information available to prediction application 120,including information determined using one or more applications ofpersonalized device 110 and/or accessible, retrievable, or request-ableover network 170. For example, applications executed by personalizeddevice 110 may detect the user's actions, purchases, biometrics,locations, messaging, social networking, or other user information,which may be processed to determine personality traits of the user anditems the user is interested in purchasing. The aforementionedinformation may also be received from an online resource, such as adevice, server, database, or other data storage and processing device.In other embodiments, prediction application 120 may access one or moreresources (e.g., constituting a part of the Internet of Things (IoT)) todetermine the aforementioned information, such as sensor 140 (wheresensor 140 may be embedded in a real world object for detection of dataabout the user). In various embodiments, personalized device 110 and/ora device in connection with personalized device 110 may determine theuser's information. The user information may be indicative of aninterest or requirement to purchase an item, a category of items, and/ora subject matter. For example, a user located at a park and exercisingmay be interested in running/hiking shoes. Once the personalityinformation is determined by prediction application 120, the personalityinformation may be stored to database 116 and/or utilized to determinepurchase predictions.

Prediction application 120 may also determine and/or access purchaseinformation for use in determining purchase predictions. Purchaseinformation may correspond to a plurality of sub-types of data, includeitem information, sales information, merchant information, and/or itemavailability information (e.g., detected by a sensor or device connectedto the Internet of Things, such as sensor 140). In this regard, purchaseinformation may correspond to information used to determine if and whento purchase an item by the personalized device. For example, purchaseinformation may correspond to information about items currently inpossession of the user, such as a current amount of an item that theuser has (e.g., amount of food/drink in a home, amount of fuel, etc.) ora requirement for the item to be in available to the merchant (e.g.,detection of no remaining items at a location for the user, or anabsence of a desired product at the location). Thus, the purchaseinformation may correspond to a purchase need or interest of the userbased on currently or previously purchased and available items to theuser (e.g., items in possession of the user and their current state).Such information about items in possession of the user may correspond toa quantity, quality, repair state, renew state, or other information.

In other embodiments, the purchase information may be detected for itemsnot in possession of the user but of interest to the user, such itemsavailable at a merchant location. Thus, other purchase information mayalso correspond to an item of interest to the user (e.g., an item theuser may wish to purchase, which may be determined using the personalityinformation and/or other purchase information). In this regard, thepurchase information may be determined from information available from amerchant and/or merchant device (e.g., merchant device 150), such as asale price of the item, availability of the item to the user at themerchant location, an available stock of the item, a discount of theitem. Sensor 140 may also detect the information where sensor 140 may belocated at the merchant location. The purchase information may alsoinclude information about whether the user can, should, or would like topurchase the item. For example, a purchase schedule of the item by theuser and available funds to the user may also be used to determine whento purchase. Other user information, such as potential travel by theuser, a schedule of the user, current location of the user, biometricsof the user, health of the user, or other user information may also beincluded within the purchase information.

Prediction application 120 may be used to determine purchase predictionsfor one or more items to purchase on behalf of the user associated withpersonalized device 110. In this regard, prediction application 120 mayaccess the personality information to determine the purchasepredictions. For example, a purchase prediction may be for an item thatthe user would like to purchase or would be required to purchase. Anitem a user may wish to purchase may correspond to an item of interestto the user determined based on the user's personality traits (e.g.,hiking gear if the user is interested in hiking, types of food based onthe user's food tastes, or other items that the user may findinteresting). An item that the user is required to purchase maycorrespond to items that the user may require, including householditems, food/drink, fuel, or other types of items that the user requires.Thus, a purchase prediction may correspond to a purchase of an item fora user based on the user's personality information. The item maycorrespond to a category of items, which may include a level ofgranularity to the category (e.g., food, fruit, and/or bananas), or maycorrespond to a specific item (e.g., STARBUCK® hazelnut coffee).Additionally, the purchase prediction may also be determined by thepurchase information. For example, the purchase information may be usedto determine when to purchase an item on behalf of the user, such aswhen a stock available to the user runs low or is empty, when the itemis on sale, or otherwise. Moreover, prediction application 120 may beused to determine a merchant and a merchant location for purchase of theitem in the purchase prediction.

After determination of the purchase prediction for one or more items,prediction application 110 may process the purchase prediction bygenerating a purchase request for the item(s) in the purchaseprediction. The purchase request may include a payment to the merchantselected in the purchase prediction. The payment may correspond to apayment instrument communicated to the merchant (e.g., through merchantdevice 150) for processing by the merchant's backend processing system(e.g., credit card processing features, bank account debiting features,processing of gift cards or benefits, check processing, etc.). In otherembodiments, prediction application 120 may utilize a payment accountwith payment provider server 160 for payment, which may be processed bypayment provider server 160 to provide a payment to the merchantassociated with merchant device 150. In various embodiments, the usermay be required to authorize the purchase request. However, in otherembodiments, the user may preauthorize the purchase request and/or otherpurchase requests so the processing may be completed without requiringthe user to sign off on the transaction and purchase request. Moreover,the user may set parameters for automatic authorization of purchaserequests.

Prediction application 120 may also be used to initiate a retrieval ofthe item from a physical merchant location after generating the purchaserequest. Where personalized device 110 corresponds to a drone deliverydevice, personalized device 110 may travel to a physical merchantlocation where the item is held by the merchant and retrieve the itemfrom the merchant. Thus, personalized device 110 may include themovement and/or motion components with the hardware processor andnon-transitory memory necessary to retrieve the item from the physicalmerchant location and deliver the item to the user. However, in otherembodiments, the components used for physical movement between two ormore points may be included within one or more other delivery devices(e.g., separate drone devices), which may be controlled by personalizeddevice 110. Prediction application 120 may cause the item to bedelivered to the user after retrieval of the item, which may correspondto the user's current location, home, work, or other specified location.

Identification application 112 may correspond to one or more processesto execute software modules and associated devices of personalizeddevice 110 to provide authentication of the user associated withpersonalized device 110 where authentication may be require forretrieval of the item purchased using prediction application 120. Inthis regard, identification application 112 may correspond tospecialized hardware and/or software utilized by personalized device 110to provide authentication, proof of identification, and/or proof of age(e.g., in the case of prescription medications, alcohol, or otherrestricted items). The authentication may include a voice or audioplayback of the user, a call or a message to the user while the deliverydevice is at the physical merchant location, a personalizedidentification of the user, a username and a password for an account ofthe user, a thumbprint of the user, a payment card of the user, and anidentification card of the user. In other embodiments, a key arrangementor other encrypted data sharing a cryptographic technique may be sharedbetween the personalized device and a merchant device for the user.Thus, personalized device 110 may provide an encrypted token associatedwith the cryptographic technique to a delivery device, which may bepresented to the merchant on retrieval of the item by the deliverydevice. For example, an asymmetric key pair may be used to encrypt atoken, which may be decrypted by the merchant's device when the deliverydevice presents the encrypted token to the merchant's device (e.g.,using short range wireless communications when the delivery devicearrives at the merchant location). Moreover, the authentication may beused on retrieval of items so insure that the delivery device retrievingthe items actually belongs to the user and is not fraudulent. Thus, theauthentication may be used to prevent theft and fraud by other usersusing delivery devices and allow the merchant to prevent loss.

One or more of the aforementioned features and/or processes ofprediction application 120 may be included within identificationapplication 112 or vice versa, for example, to provide their respectivefeatures within one application and/or application interface.

In various embodiments, personalized device 110 includes otherapplications 114 as may be desired in particular embodiments to providefeatures to personalized device 110. For example, other applications 114may include security applications for implementing client-side securityfeatures, programmatic client applications for interfacing withappropriate application programming interfaces (APIs) over network 170,or other types of applications. In various embodiments, otherapplications 114 may include financial applications, such as banking,payments, or other applications (e.g., a payment application for paymentprovider server 160 that may provide payments to a merchant associatedwith merchant device 150). Other applications 114 may also include otherlocation detection applications, which may be used to determine alocation for the user and/or merchant, such as a mapping, compass,and/or GPS application, which can include a specialized GPS receiverthat obtains location information for personalized device 110 andprocesses the location information to determine a location ofpersonalized device 110 and the user.

Other applications 114 may be utilized to determine user data or otherinformation, which may be communicated to payment provider server 160.For example, other applications 114 may collect, capture, and/orotherwise determine user data and other information for the user. Otherapplications 114 may include device interfaces and other display modulesthat may receive input from the user and/or output information to theuser. For example, other applications 114 may contain software programs,executable by a processor, including a graphical user interface (GUI)configured to provide an interface to the user. Other application114/134 may therefore use devices of personalized device 110, such asdisplay devices, including GUI's capable of displaying information tousers and other output devices, including speakers. Personalized device110 may include input devices, including touch screens. Personalizeddevice 110 may include a sensor or other component used to collect theinformation associated with the user and/or item, such as an inputdevice, a camera, a microphone, an accelerometer, a motion detector, anenvironmental sensor, and/or a biometric sensor.

Personalized device 110 may further include database 116 stored to atransitory and/or non-transitory memory of personalized device 110,which may store various applications and data and be utilized duringexecution of various modules of personalized device 110. Thus, database116 may include, for example, identifiers such as operating systemregistry entries, cookies associated with prediction application 120,identification application 112, and/or other applications 114,identifiers associated with hardware of personalized device 110, orother appropriate identifiers, such as identifiers used forpayment/user/device authentication or identification, which may becommunicated as identifying personalized device 110 to payment providerserver 160. Database 116 may include personality and/or purchaseinformation, and purchase predictions determined using the personalityand/or purchase information. Additionally, database 116 mayauthentication information, purchase requests, and processed purchaserequests.

Personalized device 110 includes at least one communication module 118adapted to communicate with communication device 130, sensor 140,merchant device 150, and/or payment provider server 160. In variousembodiments, communication module 118 may include a DSL (e.g., DigitalSubscriber Line) modem, a PSTN (Public Switched Telephone Network)modem, an Ethernet device, a broadband device, a satellite device and/orvarious other types of wired and/or wireless network communicationdevices including microwave, radio frequency, infrared, Bluetooth, andnear field communication devices. Communication module 118 maycommunicate directly with nearby devices using short rangecommunications, such as Bluetooth Low Energy, LTE Direct, WiFi, radiofrequency, infrared, Bluetooth, and near field communications.

Communication device 130 may be implemented as a communication devicethat may utilize appropriate hardware and software configured for wiredand/or wireless communication with personalized device 110, merchantdevice 150, and/or payment provider server 160. For example, in oneembodiment, communication device 130 may be implemented as a personalcomputer (PC), telephonic device, a smart phone, laptop/tablet computer,wristwatch with appropriate computer hardware resources, eyeglasses withappropriate computer hardware (e.g. GOOGLE GLASS®), other type ofwearable computing device, implantable communication devices, and/orother types of computing devices capable of transmitting and/orreceiving data, such as an IPAD® from APPLE®. Although a communicationdevice is shown, the communication device may be managed or controlledby any suitable processing device. Although only one communicationdevice is shown, a plurality of communication devices may functionsimilarly.

Communication device 130 of FIG. 1 contains an authenticationapplication 132, other applications 134, a database 136, and acommunication module 138. Authentication application 132 and otherapplications 134 may correspond to executable processes, procedures,and/or applications with associated hardware. In other embodiments,communication device 130 may include additional or different moduleshaving specialized hardware and/or software as required.

Authentication application 132 may correspond to one or more processesto execute software modules and associated devices of communicationdevice 130 to authorize a purchase request and provide authenticationfor the purchase request when required. In this regard, authenticationapplication 132 may correspond to specialized hardware and/or softwareutilized by a user of communication device 130 that may be used toauthorize a purchase request generated by personalized device 110 whenrequired. For example, the user associated with personalized device 110may set parameters for purchase requests where the user is required toauthorize the purchase request prior to processing. Thus, the purchaserequest may be presented to the user through authentication application132, where the user may accept the purchase request using an inputdevice of communication device 130 and/or an application interface.Moreover, where authentication is required for release of an item topersonalized device 110, authentication application 132 may be utilizedto provide the authentication. For example, a voice input,username/password, identification card or number, or other informationmay be entered to authentication application 132 and communicated topersonalized device 110 and/or merchant device 150. Such authenticationmay occur when personalized device 110 is at a physical merchantlocation to retrieve the item purchase through the purchase request.

In various embodiments, communication device 130 includes otherapplications 134 as may be desired in particular embodiments to providefeatures to communication device 130. For example, other applications134 may include security applications for implementing client-sidesecurity features, programmatic client applications for interfacing withappropriate application programming interfaces (APIs) over network 170,or other types of applications. Other applications 134 may also includeemail, texting, voice and IM applications that allow a user to send andreceive emails, calls, texts, and other notifications through network170. In various embodiments, other applications 134 may includefinancial applications, such as banking, online payments, moneytransfer, or other applications. Other applications 134 may also includeother location detection applications, which may be used to determine alocation for the user, such as a mapping, compass, and/or GPSapplication, which can include a specialized GPS receiver that obtainslocation information for communication device 130 and processes thelocation information to determine a location of communication device 130and the user. Other applications may include social networkingapplications, media viewing, and/or merchant applications.

Other applications 134 may also be associated with other devices, suchas biometric devices and other types of accessible or connected devices.For example, other applications 134 may be associated with a secondarydevice, such as a FITBIT®. Thus, other applications 134 may collect,capture, and/or otherwise determine user data and other information forthe user, which may be used to determine interests and knowledge ininterests. The user's information may correspond to locations of theuser, which may further be determined using a location determinationsystem, such as a GPS module of communication device 130 and associatedsystems, calendaring/scheduling information, biometrics, etc. Otherapplications 134 may include device interfaces and other display modulesthat may receive input from the user and/or output information to theuser. For example, other applications 134 may contain software programs,executable by a processor, including a graphical user interface (GUI)configured to provide an interface to the user. Other application114/134 may therefore use devices of communication device 130, such asdisplay devices, including GUI's capable of displaying information tousers and other output devices, including speakers. Communication device130 may include input devices, including touch screens. Communicationdevice 130 may include a sensor or other component used to collect thecurrent information associated with the user, such as an input device, acamera, a microphone, an accelerometer, a motion detector, anenvironmental sensor, and/or a biometric sensor.

Communication device 130 may further include database 136 stored to atransitory and/or non-transitory memory of communication device 130,which may store various applications and data and be utilized duringexecution of various modules of communication device 130. Thus, database136 may include, for example, identifiers such as operating systemregistry entries, cookies associated with authentication application 132and/or other applications 134, identifiers associated with hardware ofcommunication device 130, or other appropriate identifiers, such asidentifiers used for payment/user/device authentication oridentification, which may be communicated as identifying communicationdevice 130 to payment provider server 160. Database 136 may includeauthentication information as well as received purchase requests andprocessed purchase requests (e.g., receipts or other transactionhistories for a transaction completed through the processed purchaserequest). Additionally, database 136 may store account informationand/or account preferences for an account with payment provider server160.

Communication device 130 includes at least one communication module 138adapted to communicate with communication device 130, merchant device150, and/or payment provider server 160. In various embodiments,communication module 138 may include a DSL (e.g., Digital SubscriberLine) modem, a PSTN (Public Switched Telephone Network) modem, anEthernet device, a broadband device, a satellite device and/or variousother types of wired and/or wireless network communication devicesincluding microwave, radio frequency, infrared, Bluetooth, and nearfield communication devices. Communication module 138 may communicatedirectly with nearby devices using short range communications, such asBluetooth Low. Energy, LTE Direct, WiFi, radio frequency, infrared,Bluetooth, and near field communications.

Sensor 140 may correspond to a physical sensor mounted in a real worldobject that may be used to detect and determine personality and/orpurchase information. For example, sensor 140 may be embedded within adevice or object to detect information about the user associated withpersonalized device 110 and communication device 130. Thus, sensor 140may determine personality information, such as actions of a user,purchases, locations, etc. In other embodiments, sensor 140 may beembedded or associated with an item, which may correspond to an itemalready owned/in possession of the user and/or an item available at amerchant location. In such embodiments, sensor 140 may be detect iteminformation, including an amount of an item, a state of the item, alocation of the item, or other information about the item.

Merchant device 150 may be implemented using any appropriate hardwareand software configured for wired and/or wireless communication withcommunication device 130 and/or payment provider server 160. Merchantdevice 150 may correspond to a device, server, or cloud computingarchitecture to provide sales of items, for example, through a physicalmerchant location and/or an online marketplace accessible over a networkconnection that has a corresponding physical location for retrieval ofone or more sold items. Merchant device 150 may further be used toprocess payments for items, provide incentives for purchase of items,advertise items, and/or allow release of items to personalized device110. Although a merchant device is shown, the merchant device may bemanaged or controlled by any suitable processing device. Although onlyone merchant device is shown, a plurality of merchant devices mayfunction similarly.

Merchant device 150 of FIG. 1 contains a sales application 152, otherapplications 154, a database 156, and a communication module 158. Salesapplication 152 and other applications 154 may correspond to processes,procedures, and/or applications executable by a hardware processor, forexample, a software program. In other embodiments, merchant device 150may include additional or different modules having specialized hardwareand/or software as required.

Sales application 152 may correspond to one or more processes to executemodules and associated specialized hardware of merchant device 150 tosell one or more items offered by a merchant (not shown) associated withmerchant device 150, and further provider checkout and payment processesfor a transaction to purchase the items for sale from the merchantcorresponding to merchant device 150. In this regard, sales application152 may correspond to specialized hardware and/or software of merchantdevice 150 to provide a convenient interface to permit a merchant offeritems for sale. For example, sales application 152 may be implemented asan application offering items for sale that may be accessed bypersonalized device 110. In certain embodiments, sales application 152may correspond to a website available over the Internet and/or onlinecontent and/or database information accessible through a dedicatedapplication. Thus, sales application 152 may provide item sales throughan online marketplace using the website of the merchant. In otherembodiments, sales application 152 may provide sale of items in aphysical location, such as a physical merchant retail location.

Sales application 152 may include information for a price for the item,a discount for the item, a price change for the item, and/or otherincentives for items and/or with the merchant corresponding to merchantdevice 150 (e.g., rebates, payments, etc.). Sales application 152 may beused to set and/or determine a benefit or incentive provided as purchaseinformation. Additionally, the sales data and other item data in thepurchase information may be retrievable by personalized device 110, suchas request-able through an API call and/or retrievable from a database.The information may be based updated periodically or continuously, suchas in real time and information for the item(s) for sale changes. Salesapplication 152 may be used to establish a transaction once personalizeddevice 110 has selected one or more items for purchase in a purchaseprediction and generated a purchase request. Once a payment amount isdetermined for the transaction for the item(s) to be purchased, salesapplication 152 may request payment from personalized device 110. Salesapplication 152 may receive payment processing information, such as apurchase request. In such embodiments, the purchase request may beprocessed, payment provided to the merchant account, and notification ofpayment (or failure, for example, where there are insufficient userfunds) may be sent to sales application 152. The payment may be made bypayment provider server 160 on behalf of the user associated withpersonalized device 110. Sales application 152 may then receive theresults of the transaction processing, and complete the transaction withthe user, for example, by providing the user the items for thetransaction or declining the transaction where the user is notauthenticated or the transaction is not authorized (e.g., insufficientfunds).

Merchant device 150 includes other applications 154 as may be desired inparticular embodiments to provide features to merchant device 150. Forexample, other applications 154 may include security applications forimplementing server-side security features, programmatic clientapplications for interfacing with appropriate application programminginterfaces (APIs) over network 170, or other types of applications.Other applications 154 may also include email, texting, voice and IMapplications that allow a user to send and receive emails, calls, texts,and other notifications through network 170. In various embodiments,other applications 154 may include financial applications, such asbanking, online payments, money transfer, or other applicationsassociated with payment provider server 160. Other applications 154 maycontain software programs, executable by a processor, including agraphical user interface (GUI) configured to provide an interface to theuser.

Merchant device 150 may further include database 156 which may include,for example, identifiers such as operating system registry entries,cookies associated with sales application 152 and/or other applications154, identifiers associated with hardware of merchant device 150, orother appropriate identifiers, such as identifiers used forpayment/user/device authentication or identification. Identifiers indatabase 156 may be used by a payment/credit provider, such as paymentprovider server 160, to associate merchant device 150 with a particularaccount maintained by the payment/credit provider. Item, sales, and/orbenefit information for items sold by the merchant associated withmerchant device 150 may be stored to database 156. Database 156 mayfurther include transaction information and/or results, includingtransaction histories.

Merchant device 150 includes at least one communication module 158adapted to communicate with communication device 130 and/or paymentprovider server 160. In various embodiments, communication module 158may include a DSL (e.g., Digital Subscriber Line) modem, a PSTN (PublicSwitched Telephone Network) modem, an Ethernet device, a broadbanddevice, a satellite device and/or various other types of wired and/orwireless network communication devices including microwave, radiofrequency, infrared, Bluetooth, and near field communication devices.

Payment provider server 160 may be maintained, for example, by an onlineservice provider, which may provide connection services on behalf ofusers. In this regard, payment provider server 160 includes one or moreprocessing applications which may be configured to interact withcommunication device 130, merchant device 150, and/or anotherdevice/server to facilitate connecting users having a shared interest.In one example, payment provider server 160 may be provided by PAYPAL®,Inc. of San Jose, Calif., USA. However, in other embodiments, paymentprovider server 160 may be maintained by or include another type ofservice provider, which may provide connection services to a pluralityof users.

Payment provider server 160 of FIG. 1 includes a transaction processingapplication 162, other applications 154, a database 156, and a networkinterface component 168. User connection application 170, transactionprocessing application 162, and other applications 154 may correspond toexecutable processes, procedures, and/or applications with associatedhardware. In other embodiments, payment provider server 160 may includeadditional or different modules having specialized hardware and/orsoftware as required.

Transaction processing application 162 may correspond to one or moreprocesses to execute software modules and associated specializedhardware of payment provider server 160 to establish, maintain, andprovide a payment account to a user based on the user's paymentinstruments and provide payments using the payment account and/orpayment instruments. In this regard, transaction processing application162 may correspond to specialized hardware and/or software to receiveinformation requesting establishment of the payment account. Theinformation may include user personal and/or financial information.Additionally the information may include a login, account name,password, PIN, or other account creation information. The user mayprovide a name, address, social security number, or other personalinformation necessary to establish the account and/or effectuatepayments through the account. Transaction processing application 162 mayfurther allow the user to service and maintain the payment account, forexample, by adding and removing payment instruments. Additionally,benefits received from merchant device 150 for connecting with anotheruser may be stored and/or redeemed using transaction processingapplication 162. Transaction processing application 162 may receive apurchase request from personalized device 110, as discussed herein.Transaction processing application 162 may be used to provide a paymentfor an item to a merchant, such as merchant device 150. Transactionprocessing application 162 may debit an account of the userautomatically and provide the payment to an account of the merchant.Transaction processing application 162 may also be used to providetransaction histories for processed transactions.

In various embodiments, payment provider server 160 includes otherapplications 154 as may be desired in particular embodiments to providefeatures to payment provider server 134. For example, other applications154 may include security applications for implementing server-sidesecurity features, programmatic client applications for interfacing withappropriate application programming interfaces (APIs) over network 170,or other types of applications. Other applications 154 may containsoftware programs, executable by a processor, including a graphical userinterface (GUI), configured to provide an interface to the user whenaccessing payment provider server 160, where the user or other users mayinteract with the GUI to more easily view and communicate information.In various embodiments, other applications 154 may include connectionand/or communication applications, which may be utilized to communicateinformation to over network 170.

Additionally, payment provider server 160 includes database 156. Aspreviously discussed, the user and/or the merchant corresponding totelecommunication carrier server 170 may establish one or more digitalwallets and/or payment accounts with payment provider server 160.Digital wallets and/or payment accounts in database 156 may include userinformation, such as name, address, birthdate, paymentinstruments/funding sources, additional user financial information, userpreferences, and/or other desired user data. Users may link to theirrespective digital wallets and/or payment accounts through an account,user, merchant, and/or device identifier. Thus, when an identifier istransmitted to payment provider server 160, e.g. from communicationdevice 130, one or more digital wallets and/or payment accountsbelonging to the users may be found.

In various embodiments, payment provider server 160 includes at leastone network interface component 168 adapted to communicate communicationdevice 130 and/or merchant device 150 over network 170. In variousembodiments, network interface component 168 may comprise a DSL (e.g.,Digital Subscriber Line) modem, a PSTN (Public Switched TelephoneNetwork) modem, an Ethernet device, a broadband device, a satellitedevice and/or various other types of wired and/or wireless networkcommunication devices including microwave, radio frequency (RF), andinfrared (IR) communication devices.

Network 170 may be implemented as a single network or a combination ofmultiple networks. For example, in various embodiments, network 170 mayinclude the Internet or one or more intranets, landline networks,wireless networks, and/or other appropriate types of networks. Thus,network 170 may correspond to small scale communication networks, suchas a private or local area network, or a larger scale network, such as awide area network or the Internet, accessible by the various componentsof system 100.

FIG. 2 is exemplary environment with multiple personalized devicesutilized to perform shopping predictions and purchases for users atvarious locations, according to an embodiment. Environment 200 includesa personalized device 110 a, a personalized device 110 b, a personalizeddevice 110 c, and a personalized device 110 d corresponding generally topersonalized device 110 in environment 100 of FIG. 1. In this regard, auser 102 a and a user 102 b may utilize personalized device 110 a-d toperform personalized shopping based on purchase predictions for user 102a and 102 b. Communication device 130 a and communication device 130 balso corresponds generally to communication device 130 in environment100 of FIG. 1. Additionally, environment 200 includes a sensor 140 a, asensor 140 b, and a sensor 140 c corresponding generally to sensor 140in environment 100 of FIG. 1.

In environment 200, user 102 a may wish to purchase items from amerchant location 1002 a and/or a merchant location 1002 b. User 102 amay reside at home location 1000 a, and may establish personalizeddevice 110 a and personalized device 110 b as devices to performshopping on behalf of user 102 a. In this regard, personalized device110 a and personalized device 110 b may each include memories,processors, and/or components necessary to determine purchasepredictions and perform shopping on behalf of user 102 a based onpersonality information for user 102 a and/or purchase information forone or more items. For example, personalized device 110 a may determinea purchase prediction for an item at home location 1000 a, such as ahousehold product, food, and/or drink. Such determination may be basedon a use pattern, interest, requirement, or other information about user102 a. Additionally, information about the item at home location 1000 amay also be determined using sensor 140 a, which may detect a quantity,quality, state, or other information about the item. In environment 200,the item may be an item that requires refilling, such as a food or drinkproduct. However, as personalized device 110 a is still located at homelocation 1000 a, personalized device 110 a may have determined apurchase prediction that indicates that a present purchase is not ideal,and personalized device 110 a remains in an idle state at home location1000 a.

However, personalized device 110 b may have determined a purchaseprediction for user 102 a based on personality information and purchaseinformation determined using information from devices available at oneor more of merchant location 1002 a and/or merchant location 1002 b.Additionally, the purchase information may also be determined usingsensor 140 a at home location 1000 a for user 102 a and/or sensor 140 cat merchant location 1002 b. Thus, personalized device 110 b is locatedoutside of home location 1000 a and travelling to one of merchantlocation 1002 a and/or merchant location 1002 b in order to retrieve anitem purchase based on the purchase prediction. Personalized device 110b may delivery the item to home location 1000 a where personalizeddevice 110 b is restocking the item for user 102 a at home location 1000a. However, where user 102 a requires the item while at work location1004, personalized device 110 b may delivery the item to user 102 a atwork location 1004. Moreover, user 102 a may utilize communicationdevice 130 a to provide authentication and/or authorization wherepersonalized device 110 b may require the authentication/authorizationto purchase the item.

In similar fashion to personalized device 110 a, personalized device 110d may also have determined that an item at home location 1000 b for user102 b is not required to be purchased at the present time. Thuspersonalized device 110 d may idle at home location 1000 b until apurchase prediction is generated by personalized device 110 d. However,user 102 b may require an item prior to travelling back to home location1000 b, such as food, drinks, or other household products. In suchembodiments, personalized device 110 c may generate a purchaseprediction for an item available at merchant location 1002 a and travelto merchant location 1002 a in order to purchase the item. Personalizeddevice 110 c may process the purchase request so that the purchase inmade prior to or on arrival of personalized device 110 c at merchantlocation 1002 a. User 102 b may be advised of the purchase usingcommunication device 130 b, such as an alert that that the purchase ismade and the item will be available at home location 1000 b.

FIG. 3 is an exemplary system environment a personalized deviceperforming purchase predictions based on received data for personalityinformation and purchase information, according to an embodiment. FIG. 3includes personalized device 110, a communication device 130, and amerchant device 150 all discussed in reference to environment 100 ofFIG. 1.

Personalized device 110 executes prediction application 120corresponding generally to the specialized hardware and/or softwaremodules and processes described in reference to FIG. 1. In this regard,prediction application 120 may determine purchase predictions based oninformation available to prediction application 120, such as userinformation 2000 and/or item information 2100. User information 2000 mayinclude personality information 2002 for a user (not shown) associatedwith personalized device 110. For example, personality information 2002includes preferences 2004 that may be established by the user withpersonalized device 110. Moreover, other information may be determinedby personalized device 110 for personality information 2002 without userinput, such as actions 2006 (e.g., conduct by the user), locations 2008(e.g., detected for the user and visited by the user), and/or searches2010 (e.g., online search engine searches by the user) for the user. Inother embodiments, additional information may also be determined.

Item information 2100 may correspond to information available frommerchant device 150, for example, through accessing sales application152 (e.g., where personalized device 110 may conduct one or moreprocesses to access/utilize an API of sales application 152 to retrieveand/or determine item information 2100). Merchant device 150 executessales application 152 corresponding generally to the specializedhardware and/or software modules and processes described in reference toFIG. 1. In this regard, sales application 152 includes item information2100, which may correspond to purchase information 2102. Salesapplication 152 may provide item information 2100 to predictionapplication 120, which may utilize sales information 2014 from merchantdevice 150. Additionally, personalized device 110 may interact with oneor more sensors to determine sensor data 2018 included within iteminformation 2100.

Purchase recommendation 2020 may be determined by prediction application120. Purchase recommendation 2020 may be for an item A 2106, which maybe available from merchant 2022 having a merchant location 2024.Moreover, purchase recommendation 2020 may include requiredauthentication 2026. Required authentication 2026 may be communicated tomerchant device 150 and/or may be authorized by the user usingcommunication device 130. In this regard, communication device 130executes authentication application 132 corresponding generally to thespecialized hardware and/or software modules and processes described inreference to FIG. 1. Authentication application 132 may include messagesused to provide authentication and/or authorization by the user. Forexample, authentication application 132 includes required authentication2200 for item A 2106, which may be presented to the user. Moreover,authentication application 132 may include available authenticationmechanisms 2202 that may be utilized by the user, such as a mechanism A2204 (e.g., identification card, username and password, voice data,image, etc.). Prediction application 120 may further determine apurchase request 2028 for use in processing a transaction with merchantdevice 150. Purchase request 2028 may be processed using an onlinepayment provider, and sales application 152 may complete a transaction2104 for item A 2106. For example, purchase request 2028 may be used toprovide a payment 2108 to merchant device 150. Moreover, authenticationmechanism A 2204 may be used to provide required authorization 2110 tosales application 152.

FIG. 4 is a flowchart of an exemplary process for a network ofpersonalized devices determining data for shopping predictions,according to an embodiment. Note that one or more steps, processes, andmethods described herein may be omitted, performed in a differentsequence, or combined as desired or appropriate.

At step 402, personality information for a user is determined and/oraccessed by a personalized device system that comprises one or morehardware processors coupled to a non-transitory memory. The personalityinformation may comprise a use of the at least one item by the user, anamount of use of the at least one item by the user, purchase needs ofthe user, purchase interests of the user, and purchase requests for theat least one item by the user. For example, the personality informationmay include at least one of shopping by the user, online search enginesearches by the user, actions taken by the user, biometrics of the user,locations visited by the user, media consumed by the user, and socialnetworking and microblogging posts by the user, and may be used todetermine interests of the user. The personality information may beupdated over time based on newly retrieved data by the personalizeddevice system. The personality information may be weighed based on atimestamp of the data in the personality information.

A purchase prediction for at least one item by the user based on thepersonality information is determined, at step 404. In variousembodiments, purchase information may be determined prior to thepurchase predictions, wherein the purchase prediction is furtherdetermined using the purchase information. For example, the purchaseinformation for the at least one item from a merchant that sells the atleast one item may be accessed, wherein the purchase informationcomprises at least one of a sales price for the at least one item at thephysical merchant location, an inventory level for the at least one itemat the physical merchant location, and a discount for the at least oneitem at the physical merchant location.

The purchase information may also comprise a sale price of the at leastone item, availability of the at least one item to the user, anavailable stock of the at least one item to the user, a discount of theat least one item, purchase schedule of the at least one item by theuser, and available funds to the user. Thus, the purchase informationmay be determined by a sensor associated with a real world object. Insuch embodiments, the sensor is accessible over the Internet andembedded in a physical location or other real world object. The purchaseinformation may therefore comprise a reorder amount for an inventory ofstock level of the at least one item for the user.

At step 406, a merchant and a physical merchant location for themerchant that sells the at least one item is determined. Oncedetermined, a purchase request for the at least one item from themerchant on behalf of the user is generated using the purchaseprediction, at step 408. The purchase request is processed with themerchant using a payment provider system. In various embodiments, thepersonalized device system utilizes a payment account of the user toprocess the purchase request with the merchant using the online paymentprovider, at step 410.

At step 412, a process to retrieve the at least one item from thephysical merchant location and deliver the at least one item to the userusing a delivery device associated with personalized device system isexecuted. The at least one item may be delivered to user by the deliverydevice at a current location of the user, a home location for the user,a work location for the user, and a location specified by the user. Thepersonalized device system may comprise the delivery device having thenon-transitory memory and the one or more hardware processors residingwithin the delivery device, wherein the personalized device systemfurther comprises a movement component of the delivery device formovement of the personalized device system, and wherein the personalizeddevice system executes the process using the movement component. In suchembodiments, the non-transitory memory may further compriseidentification information for the user, wherein the identificationinformation identifies the personalized device system as associated withthe user when the personalized device system retrieves the at least oneitem on behalf of the user, and wherein the identification informationis used to process the purchase request with the merchant when thepersonalized device system arrives at the merchant location.

In other embodiments, the delivery device is external from thepersonalized device system, wherein the executing the process toretrieve the at least one item from the physical merchant location anddeliver the at least one item to the user using the delivery devicecomprises communicating a set of instructions to the delivery device,wherein the set of instructions comprises directions to the physicalmerchant location and for delivery of the at least one item to the user,and wherein the set of instructions further comprises identificationinformation for one of the user and the purchase request processed bythe online payment provider. However, in further embodiments, thepersonalized device system further comprise the delivery device as astandalone drone device, wherein the processing the purchase requestwith the merchant using the online payment provider occurs at themerchant location, and wherein the delivery device comprises acommunication module configured to communicate with a merchant device atthe merchant location for the processing the purchase request with themerchant and retrieval of the at least one item from the physicalmerchant location.

In various embodiments, the personalized device may further determinewhether the merchant requires identification of the user during purchaseof the at least one item to release the at least one item and providethe identification of the user on behalf of the user using the deliverydevice and during the executing the process. For example, the at leastone item comprises one of a prescription, alcohol, and a restricted itemrequiring proof of age or personal identification, wherein theidentification is used by the delivery device to prove theidentification of the user receiving the at least one item from thedelivery device. The identification may be provided by delivery deviceat the physical merchant location through one of a voice or audioplayback of the user, a call or a message to the user while the deliverydevice is at the physical merchant location, a personalizedidentification of the user, a username and a password for an account ofthe user, a thumbprint of the user, a payment card of the user, and anidentification card of the user. In order to provide the authentication,the identification stored to the non-transitory memory may be accessed,an encrypted token may be generated with identification, and theencrypted token may be communicated to the delivery device, wherein thedelivery device provides the encrypted token at the physical merchantlocation.

FIG. 5 is a block diagram of a computer system suitable for implementingone or more components in FIG. 1, according to an embodiment. In variousembodiments, the communication device may comprise a personal computingdevice (e.g., smart phone, a computing tablet, a personal computer,laptop, a wearable computing device such as glasses or a watch,Bluetooth device, key FOB, badge, etc.) capable of communicating withthe network. The service provider may utilize a network computing device(e.g., a network server) capable of communicating with the network. Itshould be appreciated that each of the devices utilized by users andservice providers may be implemented as computer system 500 in a manneras follows.

Computer system 500 includes a bus 502 or other communication mechanismfor communicating information data, signals, and information betweenvarious components of computer system 500. Components include aninput/output (I/O) component 504 that processes a user action, such asselecting keys from a keypad/keyboard, selecting one or more buttons,image, or links, and/or moving one or more images, etc., and sends acorresponding signal to bus 502. I/O component 504 may also include anoutput component, such as a display 511 and a cursor control 513 (suchas a keyboard, keypad, mouse, etc.). An optional audio input/outputcomponent 505 may also be included to allow a user to use voice forinputting information by converting audio signals. Audio I/O component505 may allow the user to hear audio. A transceiver or network interface506 transmits and receives signals between computer system 500 and otherdevices, such as another communication device, service device, or aservice provider server via network 170. In one embodiment, thetransmission is wireless, although other transmission mediums andmethods may also be suitable. One or more processors 512, which can be amicro-controller, digital signal processor (DSP), or other processingcomponent, processes these various signals, such as for display oncomputer system 500 or transmission to other devices via a communicationlink 518. Processor(s) 512 may also control transmission of information,such as cookies or IP addresses, to other devices.

Components of computer system 500 also include a system memory component514 (e.g., RAM), a static storage component 516 (e.g., ROM), and/or adisk drive 517. Computer system 500 performs specific operations byprocessor(s) 512 and other components by executing one or more sequencesof instructions contained in system memory component 514. Logic may beencoded in a computer readable medium, which may refer to any mediumthat participates in providing instructions to processor(s) 512 forexecution. Such a medium may take many forms, including but not limitedto, non-volatile media, volatile media, and transmission media. Invarious embodiments, non-volatile media includes optical or magneticdisks, volatile media includes dynamic memory, such as system memorycomponent 514, and transmission media includes coaxial cables, copperwire, and fiber optics, including wires that comprise bus 502. In oneembodiment, the logic is encoded in non-transitory computer readablemedium. In one example, transmission media may take the form of acousticor light waves, such as those generated during radio wave, optical, andinfrared data communications.

Some common forms of computer readable media includes, for example,floppy disk, flexible disk, hard disk, magnetic tape, any other magneticmedium, CD-ROM, any other optical medium, punch cards, paper tape, anyother physical medium with patterns of holes, RAM, PROM, EEPROM,FLASH-EEPROM, any other memory chip or cartridge, or any other mediumfrom which a computer is adapted to read.

In various embodiments of the present disclosure, execution ofinstruction sequences to practice the present disclosure may beperformed by computer system 500. In various other embodiments of thepresent disclosure, a plurality of computer systems 500 coupled bycommunication link 518 to the network (e.g., such as a LAN, WLAN, PTSN,and/or various other wired or wireless networks, includingtelecommunications, mobile, and cellular phone networks) may performinstruction sequences to practice the present disclosure in coordinationwith one another.

Where applicable, various embodiments provided by the present disclosuremay be implemented using hardware, software, or combinations of hardwareand software. Also, where applicable, the various hardware componentsand/or software components set forth herein may be combined intocomposite components comprising software, hardware, and/or both withoutdeparting from the spirit of the present disclosure. Where applicable,the various hardware components and/or software components set forthherein may be separated into sub-components comprising software,hardware, or both without departing from the scope of the presentdisclosure. In addition, where applicable, it is contemplated thatsoftware components may be implemented as hardware components andvice-versa.

Software, in accordance with the present disclosure, such as programcode and/or data, may be stored on one or more computer readablemediums. It is also contemplated that software identified herein may beimplemented using one or more general purpose or specific purposecomputers and/or computer systems, networked and/or otherwise. Whereapplicable, the ordering of various steps described herein may bechanged, combined into composite steps, and/or separated into sub-stepsto provide features described herein.

The foregoing disclosure is not intended to limit the present disclosureto the precise forms or particular fields of use disclosed. As such, itis contemplated that various alternate embodiments and/or modificationsto the present disclosure, whether explicitly described or impliedherein, are possible in light of the disclosure. Having thus describedembodiments of the present disclosure, persons of ordinary skill in theart will recognize that changes may be made in form and detail withoutdeparting from the scope of the present disclosure. Thus, the presentdisclosure is limited only by the claims.

1. (canceled)
 2. A personalized device system, comprising: anon-transitory memory; and one or more hardware processors coupled tothe non-transitory memory and configured to read instructions from thenon-transitory memory to cause the personalized device system to performoperations comprising: determining item information an item using anetworked sensor associated with the personalized device system, whereinthe networked sensor comprises one of a plurality of networked sensorsconnected to the personalized device system; accessing user informationfor a user associated with the item; determining a first prediction fora purchase of the item for the user from a merchant based on the iteminformation and the user information, wherein the first predictioncomprises a first time for the purchase of the item; determining aphysical merchant location for the merchant selling the item based onthe first prediction; designating a delivery device associated with thepersonalized device system for a retrieval of the item from the physicalmerchant location at the first time; and providing, to the deliverydevice, a machine-executable process associated with the retrieval bythe delivery device.
 3. The personalized device system of claim 2,wherein the user information is associated with a requirement of theitem by the user and comprises at least one an amount of the itemaccessible by the user, a use of the item by the user, a purchase needof the user, a purchase interest of the user, a purchase request for theitem by the user, or available funds to the user.
 4. The personalizeddevice system of claim 2, wherein the item information is associatedwith a sale of the item by the merchant and comprises one or more of asale price of the item, availability of the item with the merchant, anavailable stock of the item with the merchant, a discount of the item, apurchase schedule of the item by the merchant, or a sale schedule of theitem by the merchant.
 5. The personalized device system of claim 2,wherein the plurality of networked sensors comprise Internet of Things(IoT) sensors and are connected to the personalized device systemthrough an IoT network, and wherein the first prediction is furtherdetermined based on a geo-location of the user.
 6. The personalizeddevice system of claim 2, wherein the operations further comprise:detecting a present location of the user; determining a destinationlocation of the user at a future time based on a schedule of the userand the present location; and generating a travel route from thephysical merchant location for the merchant to the destination locationat the future time, wherein the machine-executable process comprises aset of instructions associated with the travel route.
 7. Thepersonalized device system of claim 2, wherein the operations furthercomprise: accessing identification information associated with one ofthe user or the delivery device, wherein the identification informationidentifies the personalized device system as associated with the userwhen the personalized device system retrieves the item on behalf of theuser; determining an account of the user with an online transactionprocessor service; and processing a purchase of the item from thephysical merchant location using the identification information and theaccount without requiring input from the user.
 8. The personalizeddevice system of claim 7, wherein delivery device is external from thepersonalized device system and comprises a standalone drone device,wherein processing the purchase occurs from the physical merchantlocation, and wherein the delivery device comprises a communicationmodule configured to communicate with a merchant device at the physicalmerchant location for the processing the purchase and the retrieval ofthe item from the physical merchant location.
 9. The personalized devicesystem of claim 8, wherein the delivery device further comprises amovement component for movement of the delivery device, and wherein themachine-executable process comprises instructions for navigating to thephysical merchant location using the movement component.
 10. Thepersonalized device system of claim 7, wherein the operations furthercomprise: determining whether the merchant requires an identification ofthe user for the purchase or a release of the item; and providing theidentification on behalf of the user using the delivery device.
 11. Thepersonalized device system of claim 10, wherein the identification isprovided by delivery device at the physical merchant location throughone of a voice or audio playback of the user, a call or a message to theuser while the delivery device is at the physical merchant location, apersonalized identification of the user, a username and a password forthe account of the user, a thumbprint of the user, a payment card of theuser, or an identification card of the user.
 12. A method comprising:determining an item preference of a user for an item using at least oneInternet of Things (IoT) connected sensor; determining an item state ofthe item using the at least one IoT connected sensor; determining arequirement by the user for the item at a time based on the itempreference and the item state, determining a purchase request for theitem from a merchant based on the requirement, wherein the purchaserequest identifies a merchant location for the merchant that sells theitem; processing the purchase request with the merchant using a paymentprovider system; and generating retrieval instructions for a retrievalof the item from the physical merchant location of the merchant for amobile device associated with a personalized device system.
 13. Themethod of claim 12, further comprising: accessing identification data ofthe user; generating an encrypted identification token using theidentification data; and communicating the encrypted identificationtoken to a delivery device associated with the retrieval of the item,wherein the delivery device comprises a communication module associatedwith providing the encrypted identification token at the physicalmerchant location.
 14. The method of claim 12, wherein the at least oneIoT connected sensor comprises a first IoT connected sensor and a secondIoT connected sensor, wherein the first IoT connected sensor detects theitem preference, and wherein the second IoT connected sensor detects theitem state.
 15. The method of claim 14, wherein the item state comprisesa reorder amount for an inventory of stock level of the item for theuser.
 16. The method of claim 14, wherein the first IoT connected sensoris associated with a wearable computing device of the user, and whereinthe second IoT connected sensor is at a physical location associatedwith the item.
 17. The method of claim 14, wherein the item preferenceis associated with at least one of shopping by the user, an onlinesearch engine search by the user, an action taken by the user, abiometric of the user, a location visited by the user, media consumed bythe user, or a social networking post by the user, and wherein the itempreference is tracked over a time period using the first IoT connectedsensor.
 18. The method of claim 17, wherein the item preference isweighed based on timestamps of data tracked over the time period by thefirst IoT connected sensor.
 19. The method of claim 12, wherein themobile device comprises one of a drone delivery device, a mobile smartphone, or a merchant device, and wherein the retrieval instructionscomprise one of a machine-executable process to cause a delivery of theitem to the user using the drone delivery device or the merchant deviceor a travel route for the delivery of the item to the user for themobile smart phone or the merchant device.
 20. A non-transitorymachine-readable medium having stored thereon machine-readableinstructions executable to cause a machine to perform operationscomprising: determining, by a personalized device system, personalityinformation for a user, wherein the personality information is detectedby a first sensor associated with the personalized device system;determining a purchase requirement for item using a second sensor over anetwork; processing a purchase of the item with a merchant using apayment provider system based on the personality information and thepurchase requirement; determining a physical merchant location for themerchant that stocks the item based on the purchase; and operating adelivery device associated with personalized device system to retrievethe item from the physical merchant location and deliver the item to alocation associated with the user.
 21. The non-transitorymachine-readable medium of claim 20, wherein the purchase requirementcomprises at least one of a time when the user requires the item, anamount in stock of item, or an action of the user.